Regulation of natural killer cell differentiation

pathway activity — cross-omics
GO:0032823Cross-omicsPROTEIN-MS → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of natural killer cell differentiation pathway is significantly associated with the protein abundance of multiple proteins, with the UCEC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are EVA1B, MYLK_S1438, and SYNM_S777, each associated with the pathway in up to 4 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Regulation of natural killer cell differentiation activity versus EVA1B in UCEC (Pearson r = 0.64).

Pathway-associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
UCECEVA1B →+0.742+1.384.002.00233
COADMYLK_S1438 →+0.990+0.638<.001<.00133
COADSYNM_S777 →+0.889+0.711<.001<.00133
HNSCUNG_S23 →-0.873-0.627<.001<.00133
GBMCAMSAP3_S863 →-1.399-1.280<.001<.00133
UCECAHNAK_S3031 →+1.469+1.158<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032823 vs EVA1B — UCEC

Per-sample scatter of Regulation of natural killer cell differentiation activity vs EVA1B in UCEC.

Explore this scatter interactively →

Exploration